Report Detail

1 Market Overview of Data Labeling Software

  • 1.1 Data Labeling Software Market Overview
    • 1.1.1 Data Labeling Software Product Scope
    • 1.1.2 Market Status and Outlook
  • 1.2 Global Data Labeling Software Market Size Overview by Region 2015 VS 2020 VS 2026
  • 1.3 Global Data Labeling Software Market Size by Region (2015-2026)
  • 1.4 Global Data Labeling Software Historic Market Size by Region (2015-2020)
  • 1.5 Global Data Labeling Software Market Size Forecast by Region (2021-2026)
  • 1.6 Key Regions, Data Labeling Software Market Size YoY Growth (2015-2026)
    • 1.6.1 North America Data Labeling Software Market Size YoY Growth (2015-2026)
    • 1.6.2 Europe Data Labeling Software Market Size YoY Growth (2015-2026)
    • 1.6.3 Asia-Pacific Data Labeling Software Market Size YoY Growth (2015-2026)
    • 1.6.4 Latin America Data Labeling Software Market Size YoY Growth (2015-2026)
    • 1.6.5 Middle East & Africa Data Labeling Software Market Size YoY Growth (2015-2026)

2 Data Labeling Software Market Overview by Type

  • 2.1 Global Data Labeling Software Market Size by Type: 2015 VS 2020 VS 2026
  • 2.2 Global Data Labeling Software Historic Market Size by Type (2015-2020)
  • 2.3 Global Data Labeling Software Forecasted Market Size by Type (2021-2026)
  • 2.4 Cloud-Based
  • 2.5 On-Premises

3 Data Labeling Software Market Overview by Application

  • 3.1 Global Data Labeling Software Market Size by Application: 2015 VS 2020 VS 2026
  • 3.2 Global Data Labeling Software Historic Market Size by Application (2015-2020)
  • 3.3 Global Data Labeling Software Forecasted Market Size by Application (2021-2026)
  • 3.4 Government
  • 3.5 Retail and eCommerce
  • 3.6 Healthcare and Life Sciences
  • 3.7 BFSI
  • 3.8 Transportation and Logistics
  • 3.9 Telecom and IT
  • 3.10 Manufacturing
  • 3.11 Others

4 Global Data Labeling Software Competition Analysis by Players

  • 4.1 Global Data Labeling Software Market Size (Million US$) by Players (2015-2020)
  • 4.2 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Data Labeling Software as of 2019)
  • 4.3 Date of Key Manufacturers Enter into Data Labeling Software Market
  • 4.4 Global Top Players Data Labeling Software Headquarters and Area Served
  • 4.5 Key Players Data Labeling Software Product Solution and Service
  • 4.6 Competitive Status
    • 4.6.1 Data Labeling Software Market Concentration Rate
    • 4.6.2 Mergers & Acquisitions, Expansion Plans

5 Company (Top Players) Profiles and Key Data

  • 5.1 AWS
    • 5.1.1 AWS Profile
    • 5.1.2 AWS Main Business
    • 5.1.3 AWS Products, Services and Solutions
    • 5.1.4 AWS Revenue (US$ Million) & (2015-2020)
    • 5.1.5 AWS Recent Developments
  • 5.2 Figure Eight
    • 5.2.1 Figure Eight Profile
    • 5.2.2 Figure Eight Main Business and Company’s Total Revenue
    • 5.2.3 Figure Eight Products, Services and Solutions
    • 5.2.4 Figure Eight Revenue (US$ Million) (2015-2020)
    • 5.2.5 Figure Eight Recent Development and Reaction to Covid-19
  • 5.3 Hive
    • 5.5.1 Hive Profile
    • 5.3.2 Hive Main Business
    • 5.3.3 Hive Products, Services and Solutions
    • 5.3.4 Hive Revenue (US$ Million) & (2015-2020)
    • 5.3.5 Playment Recent Developments
  • 5.4 Playment
    • 5.4.1 Playment Profile
    • 5.4.2 Playment Main Business
    • 5.4.3 Playment Products, Services and Solutions
    • 5.4.4 Playment Revenue (US$ Million) & (2015-2020)
    • 5.4.5 Playment Recent Developments
  • 5.5 V7
    • 5.5.1 V7 Profile
    • 5.5.2 V7 Main Business
    • 5.5.3 V7 Products, Services and Solutions
    • 5.5.4 V7 Revenue (US$ Million) & (2015-2020)
    • 5.5.5 V7 Recent Developments
  • 5.6 Clarifai
    • 5.6.1 Clarifai Profile
    • 5.6.2 Clarifai Main Business
    • 5.6.3 Clarifai Products, Services and Solutions
    • 5.6.4 Clarifai Revenue (US$ Million) & (2015-2020)
    • 5.6.5 Clarifai Recent Developments
  • 5.7 CloudFactory
    • 5.7.1 CloudFactory Profile
    • 5.7.2 CloudFactory Main Business and Company’s Total Revenue
    • 5.7.3 CloudFactory Products, Services and Solutions
    • 5.7.4 CloudFactory Revenue (US$ Million) (2015-2020)
    • 5.7.5 CloudFactory Recent Development and Reaction to Covid-19
  • 5.8 Labelbox
    • 5.8.1 Labelbox Profile
    • 5.8.2 Labelbox Main Business
    • 5.8.3 Labelbox Products, Services and Solutions
    • 5.8.4 Labelbox Revenue (US$ Million) & (2015-2020)
    • 5.8.5 Labelbox Recent Developments
  • 5.9 Alegion
    • 5.9.1 Alegion Profile
    • 5.9.2 Alegion Main Business
    • 5.9.3 Alegion Products, Services and Solutions
    • 5.9.4 Alegion Revenue (US$ Million) & (2015-2020)
    • 5.9.5 Alegion Recent Developments
  • 5.10 BasicAI
    • 5.10.1 BasicAI Profile
    • 5.10.2 BasicAI Main Business
    • 5.10.3 BasicAI Products, Services and Solutions
    • 5.10.4 BasicAI Revenue (US$ Million) & (2015-2020)
    • 5.10.5 BasicAI Recent Developments
  • 5.11 Dataloop AI
    • 5.11.1 Dataloop AI Profile
    • 5.11.2 Dataloop AI Main Business
    • 5.11.3 Dataloop AI Products, Services and Solutions
    • 5.11.4 Dataloop AI Revenue (US$ Million) & (2015-2020)
    • 5.11.5 Dataloop AI Recent Developments
  • 5.12 Datasaur
    • 5.12.1 Datasaur Profile
    • 5.12.2 Datasaur Main Business
    • 5.12.3 Datasaur Products, Services and Solutions
    • 5.12.4 Datasaur Revenue (US$ Million) & (2015-2020)
    • 5.12.5 Datasaur Recent Developments
  • 5.13 DefinedCrowd
    • 5.13.1 DefinedCrowd Profile
    • 5.13.2 DefinedCrowd Main Business
    • 5.13.3 DefinedCrowd Products, Services and Solutions
    • 5.13.4 DefinedCrowd Revenue (US$ Million) & (2015-2020)
    • 5.13.5 DefinedCrowd Recent Developments
  • 5.14 Diffgram
    • 5.14.1 Diffgram Profile
    • 5.14.2 Diffgram Main Business
    • 5.14.3 Diffgram Products, Services and Solutions
    • 5.14.4 Diffgram Revenue (US$ Million) & (2015-2020)
    • 5.14.5 Diffgram Recent Developments
  • 5.15 edgecase.ai
    • 5.15.1 edgecase.ai Profile
    • 5.15.2 edgecase.ai Main Business
    • 5.15.3 edgecase.ai Products, Services and Solutions
    • 5.15.4 edgecase.ai Revenue (US$ Million) & (2015-2020)
    • 5.15.5 edgecase.ai Recent Developments
  • 5.16 Heartex
    • 5.16.1 Heartex Profile
    • 5.16.2 Heartex Main Business and Company’s Total Revenue
    • 5.16.3 Heartex Products, Services and Solutions
    • 5.16.4 Heartex Revenue (US$ Million) (2015-2020)
    • 5.16.5 Heartex Recent Development and Reaction to Covid-19
  • 5.17 LinkedAi
    • 5.17.1 LinkedAi Profile
    • 5.17.2 LinkedAi Main Business
    • 5.17.3 LinkedAi Products, Services and Solutions
    • 5.17.4 LinkedAi Revenue (US$ Million) & (2015-2020)
    • 5.17.5 LinkedAi Recent Developments
  • 5.18 Lionbridge
    • 5.18.1 Lionbridge Profile
    • 5.18.2 Lionbridge Main Business
    • 5.18.3 Lionbridge Products, Services and Solutions
    • 5.18.4 Lionbridge Revenue (US$ Million) & (2015-2020)
    • 5.18.5 Lionbridge Recent Developments
  • 5.19 Sixgill
    • 5.19.1 Sixgill Profile
    • 5.19.2 Sixgill Main Business
    • 5.19.3 Sixgill Products, Services and Solutions
    • 5.19.4 Sixgill Revenue (US$ Million) & (2015-2020)
    • 5.19.5 Sixgill Recent Developments
  • 5.20 super.AI
    • 5.20.1 super.AI Profile
    • 5.20.2 super.AI Main Business
    • 5.20.3 super.AI Products, Services and Solutions
    • 5.20.4 super.AI Revenue (US$ Million) & (2015-2020)
    • 5.20.5 super.AI Recent Developments
  • 5.21 SuperAnnotate
    • 5.21.1 SuperAnnotate Profile
    • 5.21.2 SuperAnnotate Main Business
    • 5.21.3 SuperAnnotate Products, Services and Solutions
    • 5.21.4 SuperAnnotate Revenue (US$ Million) & (2015-2020)
    • 5.21.5 SuperAnnotate Recent Developments
  • 5.22 Deep Systems
    • 5.22.1 Deep Systems Profile
    • 5.22.2 Deep Systems Main Business
    • 5.22.3 Deep Systems Products, Services and Solutions
    • 5.22.4 Deep Systems Revenue (US$ Million) & (2015-2020)
    • 5.22.5 Deep Systems Recent Developments
  • 5.23 TaQadam
    • 5.23.1 TaQadam Profile
    • 5.23.2 TaQadam Main Business
    • 5.23.3 TaQadam Products, Services and Solutions
    • 5.23.4 TaQadam Revenue (US$ Million) & (2015-2020)
    • 5.23.5 TaQadam Recent Developments
  • 5.24 TrainingData.io
    • 5.24.1 TrainingData.io Profile
    • 5.24.2 TrainingData.io Main Business
    • 5.24.3 TrainingData.io Products, Services and Solutions
    • 5.24.4 TrainingData.io Revenue (US$ Million) & (2015-2020)
    • 5.24.5 TrainingData.io Recent Developments

6 North America

  • 6.1 North America Data Labeling Software Market Size by Country
  • 6.2 United States
  • 6.3 Canada

7 Europe

  • 7.1 Europe Data Labeling Software Market Size by Country
  • 7.2 Germany
  • 7.3 France
  • 7.4 U.K.
  • 7.5 Italy
  • 7.6 Russia
  • 7.7 Nordic
  • 7.8 Rest of Europe

8 Asia-Pacific

  • 8.1 Asia-Pacific Data Labeling Software Market Size by Region
  • 8.2 China
  • 8.3 Japan
  • 8.4 South Korea
  • 8.5 Southeast Asia
  • 8.6 India
  • 8.7 Australia
  • 8.8 Rest of Asia-Pacific

9 Latin America

  • 9.1 Latin America Data Labeling Software Market Size by Country
  • 9.2 Mexico
  • 9.3 Brazil
  • 9.4 Rest of Latin America

10 Middle East & Africa

  • 10.1 Middle East & Africa Data Labeling Software Market Size by Country
  • 10.2 Turkey
  • 10.3 Saudi Arabia
  • 10.4 UAE
  • 10.5 Rest of Middle East & Africa

11 Data Labeling Software Market Dynamics

  • 11.1 Industry Trends
  • 11.2 Market Drivers
  • 11.3 Market Challenges
  • 11.4 Market Restraints

12 Research Finding /Conclusion

    13 Methodology and Data Source

    • 13.1 Methodology/Research Approach
      • 13.1.1 Research Programs/Design
      • 13.1.2 Market Size Estimation
      • 13.1.3 Market Breakdown and Data Triangulation
    • 13.2 Data Source
      • 13.2.1 Secondary Sources
      • 13.2.2 Primary Sources
    • 13.3 Disclaimer

    Data labeling software provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms. Within these tools, the user inputs a given dataset and the software provides a label through machine learning-assisted labeling, a human taskforce, or the user themselves.

    Market Analysis and Insights: Global Data Labeling Software Market
    The research report studies the Data Labeling Software market using different methodologies and analyzes to provide accurate and in-depth information about the market. For a clearer understanding, it is divided into several parts to cover different aspects of the market. Each area is then elaborated to help the reader comprehend the growth potential of each region and its contribution to the global market. The researchers have used primary and secondary methodologies to collate the information in the report. They have also used the same data to generate the current market scenario. This report is aimed at guiding people towards an apprehensive, better, and clearer knowledge of the market.
    The global Data Labeling Software market size is projected to reach US$ XX million by 2026, from US$ XX million in 2020, at a CAGR of XX% during 2021-2026.
    Global Data Labeling Software Scope and Segment
    The global Data Labeling Software market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Data Labeling Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type, and by Application for the period 2015-2026.
    by Type, the market is primarily split into
    Cloud-Based
    On-Premises
    by Application, this report covers the following segments
    Government
    Retail and eCommerce
    Healthcare and Life Sciences
    BFSI
    Transportation and Logistics
    Telecom and IT
    Manufacturing
    Others
    Global Data Labeling Software market: regional analysis, the major regions covered in the report are:
    North America
    United States
    Canada
    Europe
    Germany
    France
    U.K.
    Italy
    Russia
    Nordic
    Rest of Europe
    Asia-Pacific
    China
    Japan
    South Korea
    Southeast Asia
    India
    Australia
    Rest of Asia-Pacific
    Latin America
    Mexico
    Brazil
    Middle East & Africa
    Turkey
    Saudi Arabia
    UAE
    Rest of Middle East & Africa
    The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market.
    The Data Labeling Software key players in this market include:
    AWS
    Figure Eight
    Hive
    Playment
    V7
    Clarifai
    CloudFactory
    Labelbox
    Alegion
    BasicAI
    Dataloop AI
    Datasaur
    DefinedCrowd
    Diffgram
    edgecase.ai
    Heartex
    LinkedAi
    Lionbridge
    Sixgill
    super.AI
    SuperAnnotate
    Deep Systems
    TaQadam
    TrainingData.io


    Summary:
    Get latest Market Research Reports on COVID-19 Impact on Global Data Labeling Software. Industry analysis & Market Report on COVID-19 Impact on Global Data Labeling Software is a syndicated market report, published as COVID-19 Impact on Global Data Labeling Software Market Report, History and Forecast 2015-2026, Breakdown Data by Companies, Key Regions, Types and Application. It is complete Research Study and Industry Analysis of COVID-19 Impact on Global Data Labeling Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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